This is a follow-up from the previous post on deploying an ONNX model using Azure Functions. Suppose you've got the API working great and youwant to include this amazing functionality on a brand new website. What follows is the harrowing path thr...

Building awesome machine learning models can be an onerous task. Once all the blood, sweat and tears have been expended creating this magical (and ethical) model sometimes it feels like getting the thing deployed will require severing another limb i...

Every business has their "junk" drawer (or the "share" as Bill/Karen likes to call it). Often hidden in this data wasteland are nuggets of informational gold that could revolutionize the way you do business (we hope). Turns out th...

Let's say you built an amazingly wonderful hand-crafted artisanal convolutional neural network that works beautifully on your hard-drive based dataset. You are now ready to take this masterpiece to the cloud to work on a much larger dataset on be...

Making software is hard. Every once in a while we find some code that really helps the process. It makes our own code intelligible: almost fun! Sometimes the magical code is of our own making but often we are using someone else's code. In eithe...

It is appallingly wrong of me to not have written anything in over a year. One of my resolutions is to ameliorate the situation by trying to write at least one thing every month (sorry January). In this post I would like to announce that I have decid...